useR 2019 - Toulouse - 2019/07/09
sp & rgeos
sf
ggplot2 (Wickham, 2016) + ggspatial (Dunnington, 2018)sf objects.tmap (Tennekes, 2018)ggplot2)osrm: Get road distances (time) between each municipalities.
SpatialPosition: Compute gravitationnal accessibility based on road distances.
cartography::getBreaks(): Classify data
cartography::carto.pal(): Use color palettes from the package
cartography::choroLayer(): Plot the choropleth map
cartography::getFigDim(): Find the correct ratio for png export.sf: a lot geodata transformations
cartography::propSymolsLayer(): Display the proportionnal symbols
cartography::layoutLayer(): Display the map layoutcartography::getPencilLayer(): Transform polygons to hand-drawn polylines
cartography::choroLayer(): Display a choropleth map
spatstats: Compute KDE
tanaka: Display the shaded contour lines
cartography::LegendChoro(): Plot the Legend
cartography::layoutLayer(): Plot the map layout
cartography::choroLayer(): Plot a choropleth map
cartography::getBorders(): Extract borders between countries
cartography::discLayer(): Map the discontinuities on borders
cartography::layoutLayer(): Map layout
github.com/riatelab/cartography
@rgeomatic
rgeomatic.hypotheses.org